ABSTRACT: The proximal gradient method (PGD) is an important approach for solving composite optimization problems consisting of the sum of a smooth function and a nonsmooth function. Classical ...
⚠️ Disclaimer: This documentation is AI-generated and may contain errors. Please refer to the actual code for accuracy. 🚧 Development Status: This project is currently under development. The main ...
Abstract: This article investigates how classical discontinuous sliding-mode signals can be more effectively understood and implemented using principles from optimization and convex analysis. For ...
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